1. To automate data cleaning, and visualization using pandas and plotpy.
2. To create a web server to display the data visualization.

- xlrd
- pandas
- pytest
- matplotlib
- numpy
- boto3

June 2019:

• Panda in TDD
• Advance pyTest and refactor to Objects
• Create Web API using Flask and Pytest-d in HTTP: Web Networking TDD
• Run Plotly & D3js with Panda
• AWS: S3 bucket SDK, Lambda to run code, EC2 to manage server
• Run Python Performance & test coverage

March 2019:

• Refactored Code: created country files + used np.where
• Reorganized Pandas Code
• Deleted the country specific files

February 2019:

• Added in code to clean up the dataset + create the needed dataframes
• Added in import statements
• Function called strip_spaces to remove white spaces
• df.drop is used to remove all the uneeded columns. May need to come up with a more efficient way to do this?
• Converted the existing dates in the excel to a datetime variable